21st International Conference on Evaluation and Assessment in Software Engineering
When : 2017-06-15
Where : Karlskrona, Sweden
Submission Deadline : 2017-01-22
Categories : Software Engineering & Security , Knowledge Management
21st International Conference on Evaluation and Assessment in Software Engineering
(EASE 2017)
15– 16 June, 2017
Karlskrona, Sweden
Call For Papers
The International Conference on Evaluation and Assessment in Software Engineering (EASE) is one of the premier conferences to present research results related to empirical software engineering. EASE provides a stimulating forum where researchers and practitioners can present and discuss recent research results on a wide range of topics, in addition to also exchanging ideas, experiences and challenging problems.
The 21st edition of EASE will take place from the 15th to the 16th of June at the Blekinge Institute of Technology (BTH), in the city of Karlskrona, in Sweden. BTH focuses on applied research with strong industrial collaboration; it offers about 35 educational programmes in 12 departments at two campuses located in Karslrkona and Karlshamn, to around 6,600 students (part-time and full-time).
Topics Related with:
We welcome submissions of original and unpublished research (as full, short and industry papers) in all areas of empirical software engineering, which include, but are not limited to:
- New ideas pertaining to empirical evaluation of software engineering technologies, methods, and tools, e.g., transferring and applying empirical methods from other disciplines to empirical software engineering
- Infrastructures and novel techniques/tools for supporting any phase of empirical studies
- Empirical studies using qualitative, quantitative, and mixed methods
- Cross- and multi-disciplinary methods and studies
- Experiments and quasi-experiments
- Case studies, action-research, and field studies
- Survey research
- Systematic literature reviews and mapping studies
- Meta-analysis, qualitative and quantitative synthesis of studies
- Replication of empirical studies and families of studies
- Empirically-based decision making
- Evaluation and comparison of techniques and models
- Development and evaluation of empirical prediction systems or software estimation models
- Mining software engineering repositories
- Modeling, measuring, and assessing product and/or process quality
- Simulation-based studies in software engineering
- Assessing the benefits / costs associated with using certain development technologies
- Industrial experience, Software project experience, and knowledge management
- Software technology transfer to the industry
